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Academic Research

Community
voidful
academic-research

Complete academic research skill suite covering the full pipeline: paper reading (read/explain papers with storytelling), idea generation (brainstorm research directions), experiment design (plan experiments, ablation, baselines), proof writing (mathematical proofs, LaTeX theorems), paper writing (draft to camera-ready for top venues like NeurIPS/ICLR/ACL), paper review (structured 4-step review with scoring), and professor fit analysis (evaluate advisors, cold emails, interview strategy). Trigger keywords: read paper, brainstorm, experiment design, prove, write paper, review, professor fit, advisor, cold email, LaTeX, research, NeurIPS, ICLR, ACL, arXiv, 讀論文, 寫論文, 審稿, 實驗設計, 數學證明, 研究方向, 教授分析, 選指導教授.

Overview

Publishervoidful
Repositoryacademic-skills
Skill nameacademic-research
Stars
140
Forks
13
Bundled files
50
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 50 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by voidful on GitHub. Read the source before you install it.

Installation

Install the Academic Research AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/voidful/academic-skills/tree/main
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/voidful/academic-skills.git \
  .claude/skills/academic-research
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Academic Research in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Academic Research on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Academic Research is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Academic Research Skills Suite

一套完整的學術研究 Skill 套件,涵蓋從論文閱讀到撰寫、審稿的完整研究流程。支援 Claude Code、ChatGPT/Codex CLI、Gemini CLI。


Skill 路由表

根據使用者的意圖,載入對應的子 Skill:

觸發條件子 Skill路徑說明
讀論文、解釋論文、paper reading、看不懂這篇Paper Readingpaper-reading/SKILL.md太奶角色論文導讀(繁中)
想 idea、brainstorm、研究方向、下一步做什麼Idea Generationidea-generation/SKILL.md發散→搜索→收斂三階段構思
實驗設計、ablation、baseline、跑什麼實驗Experiment Designexperiment-design/SKILL.md實驗設計與規劃
數學證明、prove、theorem、推導Proof Writerproof-writer/SKILL.md理論推導與數學證明
寫論文、paper writing、improve my paper、LaTeXPaper Writingpaper-writing/SKILL.md論文撰寫(頂會標準)
review、審稿、reviewer 會怎麼說、這篇能上嗎Paper Reviewpaper-review/SKILL.md4 步驟學術審稿
教授分析、professor fit、選指導教授、cold email、申請策略Professor Fit Analyserprofessor-fit-analyser/SKILL.md教授適配度分析與申請策略

指引:當使用者的請求匹配上方觸發條件時,請讀取對應路徑的 SKILL.md 並依照其指示執行。如果使用者的需求橫跨多個 Skill,請依照下方 Pipeline 順序依序處理。


Skill Pipeline

professor-fit-analyser ─┐
                        ↓
paper-reading ──→ idea-generation ──→ experiment-design
      │                                       │
      ↓                                       ↓
paper-review ←── paper-writing ←──── proof-writer
      │                 ↑
      └─────────────────┘  (revision cycle)

語言慣例

  • 預設語言: 繁體中文(分析、解釋、討論)
  • 英文場景: LaTeX 生成、正式審稿輸出、數學符號與定理名稱
  • 學術詞彙: 參考 shared/chinese-academic-glossary.md 確保一致性

共享資源


跨平台安裝

本套件符合 Agent Skills 開放標準,可在以下平台使用:

Claude Code

bash
# 方法一:Clone 到 skills 目錄
git clone <repo-url> ~/.claude/skills/academic-research

# 方法二:在專案中使用
git clone <repo-url> .claude/skills/academic-research

ChatGPT / Codex CLI

bash
git clone <repo-url> ~/.codex/skills/academic-research
# 或在專案中
git clone <repo-url> .codex/skills/academic-research

Gemini CLI

bash
git clone <repo-url> ~/.gemini/skills/academic-research
# 或在專案中
git clone <repo-url> .gemini/skills/academic-research

通用方式

將本倉庫目錄複製到你的 AI agent 的 skills 目錄即可。根目錄 SKILL.md 作為入口,agent 會透過 */SKILL.md 模式自動發現所有子 skills。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Academic Research AI skill do?

Complete academic research skill suite covering the full pipeline: paper reading (read/explain papers with storytelling), idea generation (brainstorm research directions), experiment design (plan experiments, ablation, baselines), proof writing (mathematical proofs, LaTeX theorems), paper writing (draft to camera-ready for top venues like NeurIPS/ICLR/ACL), paper review (structured 4-step review with scoring), and professor fit analysis (evaluate advisors, cold emails, interview strategy). Trigger keywords: read paper, brainstorm, experiment design, prove, write paper, review, professor fit...

Why use Academic Research on TypingMind?

Because you install it once and use it with any model. Academic Research is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Academic Research in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/voidful/academic-skills/tree/main. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Academic Research?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Academic Research?

As many as you like. As long as a model supports skills, you can use Academic Research with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Academic Research AI skill free?

Yes. It is published on GitHub by voidful under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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